Media Summary: Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ... This video shows dynamic walking simulations supporting our newly accepted paper: Y. Zhao, B. Fernandez and L. Sentis. Isabelle Maroger, Olivier Stasse, Bruno Watier (IROS 2020) Abstract : In order to fluidly perform complex tasks in collaboration ...

Robust Humanoid Locomotion Using Trajectory - Detailed Analysis & Overview

Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ... This video shows dynamic walking simulations supporting our newly accepted paper: Y. Zhao, B. Fernandez and L. Sentis. Isabelle Maroger, Olivier Stasse, Bruno Watier (IROS 2020) Abstract : In order to fluidly perform complex tasks in collaboration ... Abstract: Linear Model Predictive Control (MPC) has been successfully used for generating feasible walking motions for ... This work presents a comprehensive study on Final Project for MIT 6.832 - Underactuated Robotics.

Dynamic Complementarity Conditions and Whole-Body In this video, we propose a modular framework to generate

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Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning
Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization
Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization
Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion
Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion
Learning robust perceptive locomotion for quadrupedal robots in the wild
Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance
Real-World Humanoid Locomotion with Reinforcement Learning
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Trajectory Optimization for a Running Humanoid
Dynamic Complementarity Conditions & WholeBody Trajectory Optimization for Humanoid Robot Locomotion
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Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

The main idea of this work is to

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning

The main idea of this work is to

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Humanoid locomotion

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Robust Humanoid Locomotion via Sequential Stepping and Angular Momentum Optimization

Stepping strategy, including step time and step location modulation, and hip strategy, i.e., upper-bod movement, play crucial roles ...

Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion

Robust Optimal Planning and Control of Non-Periodic Bipedal Locomotion

This video shows dynamic walking simulations supporting our newly accepted paper: Y. Zhao, B. Fernandez and L. Sentis.

Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Walking Human Trajectory Models and Their Application to Humanoid Robot Locomotion

Isabelle Maroger, Olivier Stasse, Bruno Watier (IROS 2020) Abstract : In order to fluidly perform complex tasks in collaboration ...

Learning robust perceptive locomotion for quadrupedal robots in the wild

Learning robust perceptive locomotion for quadrupedal robots in the wild

We present a perceptive

Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance

Stochastic and Robust MPC for Bipedal Locomotion: A Comparative Study on Robustness and Performance

Abstract: Linear Model Predictive Control (MPC) has been successfully used for generating feasible walking motions for ...

Real-World Humanoid Locomotion with Reinforcement Learning

Real-World Humanoid Locomotion with Reinforcement Learning

Humanoid

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

This work presents a comprehensive study on

Trajectory Optimization for a Running Humanoid

Trajectory Optimization for a Running Humanoid

Final Project for MIT 6.832 - Underactuated Robotics.

Dynamic Complementarity Conditions & WholeBody Trajectory Optimization for Humanoid Robot Locomotion

Dynamic Complementarity Conditions & WholeBody Trajectory Optimization for Humanoid Robot Locomotion

Dynamic Complementarity Conditions and Whole-Body

Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach

Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach

In this video, we propose a modular framework to generate